Discover the workflow
Interview the owner, follow the work, inventory systems and handoffs, and establish the current baseline.
Current-state workflow mapPain and exception inventoryBaseline business measures
How we work
From bottleneck to dependable AI workflow.
Kenzai uses a disciplined implementation process: understand the operation, define the boundaries, deploy a controlled sprint, and measure the result before expanding.
AICo-worker
01Sense
Watch emails, orders, stock, delays, and requests
02Prepare
Draft the next step with the business context included
03Review
Keep people in control before important actions happen
04Improve
Track outcomes so the next sprint gets sharper
The delivery model
Four phases, one accountable operating result.
Each phase has a decision gate. If the workflow is not valuable, governable, or technically sensible, we say so before complexity compounds.
Design the co-worker
Define what the AI observes, prepares, decides, escalates, and leaves to a human reviewer.
Role and responsibility boundaryContext and integration mapReview and escalation rules
Deploy a controlled sprint
Build the smallest production-capable workflow, validate it with real cases, and make adoption part of the design.
Working automationOperational runbookUser acceptance and exception testing
Measure and expand
Compare the new workflow to the baseline, fix weak points, and only then choose the next automation layer.
Outcome reviewControl and reliability improvementsExpansion roadmap
A good fit
Kenzai works best when the workflow matters and the owner is engaged.
The strongest projects have recurring volume, visible friction, accessible context, a clear accountable owner, and a result the business can measure. We are not the right partner for vague innovation theater or fully autonomous high-stakes decisions without review.
